**Description:** We are seeking an experienced MLOps Lead to design, build, and scale end-to-end machine learning platforms and workflows. The ideal candidate will lead the MLOps function, enabling reliable model development, deployment, monitoring, and governance across the organization. This role requires deep hands-on expertise with MLflow, Kubeflow, AWS SageMaker, Docker, Kubernetes, Jenkins, and Terraform, along with strong leadership and collaboration skills. **Requirements:** Technical Skills - Strong hands-on experience with MLflow, Kubeflow, and AWS SageMaker - Expertise in Docker and Kubernetes (EKS preferred) - Proven experience building CI/CD pipelines with Jenkins - Infrastructure as Code using Terraform - Strong programming skills in Python - Experience with REST/gRPC-based model serving - Knowledge of monitoring tools (Prometheus, Grafana, CloudWatch, etc.) - Cloud & Data - Deep experience with AWS services (S3, IAM, EC2, ECR, EKS) - Understanding of data pipelines and feature stores - Familiarity with security best practices for ML systems - Leadership & Soft Skills - Experience leading technical teams and mentoring engineers - Strong problem-solving and architectural decision-making skills - Excellent communication and stakeholder management abilities - Ability to translate business needs into scalable technical solutions **Job Responsibilities:** Leadership & Strategy - Lead and mentor a team of MLOps and platform engineers. - Define and drive MLOps strategy, best practices, and standards across ML lifecycle. - Partner with Data Science, Engineering, Security, and Product teams to operationalize ML solutions. - Own architecture decisions for scalable, secure, and cost-effective ML platforms. - ML Platform & Pipeline Engineering - Design and implement end-to-end ML pipelines for training, testing, deployment, and monitoring. - Build and manage reproducible ML workflows using Kubeflow Pipelines. - Implement experiment tracking, model registry, and versioning using MLflow. - Deploy and manage ML models on AWS SageMaker and Kubernetes-based platforms. - CI/CD & Automation - Develop robust CI/CD pipelines for ML and data workflows using Jenkins. - Automate model testing, validation, and deployment processes. - Integrate CI/CD pipelines with container registries and infrastructure provisioning. - Containerization & Orchestration - Containerize ML workloads using Docker. - Deploy, scale, and manage ML services using Kubernetes. - Implement blue-green and canary deployments for ML models. - Infrastructure & Cloud - Design and manage infrastructure as code using Terraform. - Provision and maintain cloud resources for training and inference workloads. - Ensure high availability, scalability, security, and observability of ML systems. - Monitoring, Governance & Reliability - Implement model monitoring for performance, drift, and data quality. - Establish logging, alerting, and incident response processes. - Enforce ML governance, reproducibility, and compliance standards. **What We Offer:** **Exciting Projects:** We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them. **Collaborative Environment:** You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities! **Work-Life Balance:** GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays. **Professional Development:** Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings. **Excellent Benefits:** We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses. **Fun Perks:** We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!